GMM Estimation of 2D-RCA Models With Applications to Texture Image Classification.
other · Level V
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- Record sourced from PubMed, PMID 26529762.
- Also identified by DOI 10.1109/TIP.2015.2494740.
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Abstract
The 2D indexed random coefficients autoregressive (2D-RCA) models are obtained by introducing appropriate random field coefficients to an AR model on Z(2). The study of such models is motivated by their capability to capture the space-varying behavior of the volatility. A generalized method of moment approach is considered to estimate the 2D-RCA models. Consistency and asymptotic normality of the estimates are derived. Estimated parameters are used, at a later stage, as pixel features in texture image classification.